{"id":"W1482131604","doi":"","title":"MODELING OF THE MAXIMUM ENTROPY PROBLEM AS AN OPTIMAL CONTROL PROBLEM AND ITS APPLICATION TO PDF ESTIMATION OF ELECTRICITY PRICE","year":2013,"lang":"en","type":"article","venue":"Iranian journal of electrical and electronic engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Principle of maximum entropy; Probability density function; Electricity; Mathematical optimization; Random variable; Entropy (arrow of time); Moment (physics); Electricity market; Probability distribution; Electricity price; Mathematics; Econometrics; Computer science; Statistics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002363155,0.0009069291,0.001115147,0.0009990361,0.0004713896,0.001483183,0.001117019,0.001411187,0.001805316],"category_scores_gemma":[0.007408076,0.0005692684,0.001251266,0.0007967534,0.001636869,0.002621513,0.001107172,0.001533892,0.0001744971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294977,"about_ca_system_score_gemma":0.001330349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004795354,"about_ca_topic_score_gemma":0.002204713,"domain_scores_codex":[0.9988043,0.0005085322,0.0000587459,0.0002392216,0.0002975274,0.00009170813],"domain_scores_gemma":[0.9969131,0.002391478,0.0002610944,0.0001010578,0.0002836679,0.00004965631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001527467,0.00002377942,0.0004339674,0.0000718221,0.00003211826,0.00007512054,0.00005866311,0.8978509,0.00074292,0.08836935,0.0004090843,0.01191689],"study_design_scores_gemma":[0.000002226592,0.000008358821,0.00009865827,0.000005350972,0.000004381202,0.00001124258,0.000003950763,0.9847715,0.0001437453,0.01472839,0.000215171,0.000007003993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002580535,0.0001775193,0.995924,0.0001737377,0.00002162326,0.00001315651,0.00001499127,0.00002754315,0.001067032],"genre_scores_gemma":[0.8005686,0.001979113,0.1904372,0.0002268538,0.000366322,0.0003344745,0.0001813718,0.0001021607,0.005803991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004795354,"threshold_uncertainty_score":0.01249772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003197231262230594,"score_gpt":0.1796939472184499,"score_spread":0.1764967159562193,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}